nmm 22 4500ICPSR09998MiAaIm f a u cr mn mmmmuuuu150303s1993 miu f a eng d(MiAaI)ICPSR09998MiAaIMiAaI
Arrests As Communications to Criminals in St. Louis, 1970, 1972-1982
[electronic resource]
Carol W. Kohfeld
,
John Sprague
2006-01-12Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]1993ICPSR9998NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This data collection was designed to assess the deterrent
effects over time of police sanctioning activity, specifically that of
arrests. Arrest and crime report data were collected from the
St. Louis Police Department and divided into two categories: all
Uniform Crime Reporting Program Part I crime reports, including
arrests, and Part I felony arrests. The police department also
generated geographical "x" and "y" coordinates corresponding to
the longitude and latitude where each crime and arrest took
place. Part 1 of this collection contains data on all reports made to
police regarding Part I felony crimes from 1970 to 1982 (excluding
1971). Parts 2-13 contain the yearly data that were concatenated into
one file for Part 1. Variables in Parts 2-13 include offense code,
census tract, police district, police area, city block, date of crime,
time crime occurred, value of property taken, and "x" and "y"
coordinates of crime and arrest locations. Part 14 contains data on
all Part I felony arrests. Included is information on offense charged,
the marital status, sex, and race of the person arrested, census tract
of arrest, and "x" and "y" coordinates.
Cf.: http://doi.org/10.3886/ICPSR09998.v1
crime statisticsicpsrdeterrenceicpsrfelony offensesicpsrarrest ratesicpsrarrestsicpsrcrime mappingicpsrNACJD IX. PoliceRCMD I. CrimeICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemKohfeld, Carol W.Sprague, JohnInter-university Consortium for Political and Social Research.ICPSR (Series)9998Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR09998.v1 nmm 22 4500ICPSR02929MiAaIm f a u cr mn mmmmuuuu150303s2000 miu f a eng d(MiAaI)ICPSR02929MiAaIMiAaI
Case Tracking and Mapping System Developed for the United States Attorney's Office, Southern District of New York, 1997-1998
[electronic resource]
Colin Reilly
,
Victor Goldsmith
2006-01-18Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2000ICPSR2929NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This collection grew out of a prototype case tracking and
crime mapping application that was developed for the United States
Attorney's Office (USAO), Southern District of New York (SDNY). The
purpose of creating the application was to move from the traditionally
episodic way of handling cases to a comprehensive and strategic method
of collecting case information and linking it to specific geographic
locations, and collecting information either not handled at all or not
handled with sufficient enough detail by SDNY's existing case
management system. The result was an end-user application designed to
be run largely by SDNY's nontechnical staff. It consisted of two
components, a database to capture case tracking information and a
mapping component to link case and geographic data. The case tracking
data were contained in a Microsoft Access database and the client
application contained all of the forms, queries, reports, macros,
table links, and code necessary to enter, navigate through, and query
the data. The mapping application was developed using Environmental
Systems Research Institute's (ESRI) ArcView 3.0a GIS. This collection
shows how the user-interface of the database and the mapping component
were customized to allow the staff to perform spatial queries without
having to be geographic information systems (GIS) experts. Part 1 of
this collection contains the Visual Basic script used to customize the
user-interface of the Microsoft Access database. Part 2 contains the
Avenue script used to customize ArcView to link the data maintained in
the server databases, to automate the office's most common queries,
and to run simple analyses.
Cf.: http://doi.org/10.3886/ICPSR02929.v1
case managementicpsrcase processingicpsrcrime mappingicpsrdatabasesicpsrgeographic information systemsicpsrICPSR X.B. Instructional Packages and Computer Programs, Computer ProgramsNACJD XII. Computer Programs and Instructional PackagesReilly, ColinGoldsmith, VictorInter-university Consortium for Political and Social Research.ICPSR (Series)2929Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR02929.v1 nmm 22 4500ICPSR04545MiAaIm f a u cr mn mmmmuuuu150303s2006 miu f a eng d(MiAaI)ICPSR04545MiAaIMiAaI
Development of Crime Forecasting and Mapping Systems for Use by Police in Pittsburgh, Pennsylvania, and Rochester, New York, 1990-2001
[electronic resource]
Jacqueline Cohen
,
Wilpen L. Gorr
2006-08-31Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2006ICPSR4545NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This study was designed to develop crime forecasting as an
application area for police in support of tactical deployment of
resources. Data on crime offense reports and computer aided dispatch
(CAD) drug calls and shots fired calls were collected from the
Pittsburgh, Pennsylvania Bureau of Police for the years 1990 through
2001. Data on crime offense reports were collected from the Rochester,
New York Police Department from January 1991 through December 2001.
The Rochester CAD drug calls and shots fired calls were collected from
January 1993 through May 2001. A total of 1,643,828 records (769,293
crime offense and 874,535 CAD) were collected from Pittsburgh, while
538,893 records (530,050 crime offense and 8,843 CAD) were collected
from Rochester. ArcView 3.3 and GDT Dynamap 2000 Street centerline
maps were used to address match the data, with some of the Pittsburgh
data being cleaned to fix obvious errors and increase address match
percentages. A SAS program was used to eliminate duplicate CAD calls
based on time and location of the calls. For the 1990 through 1999
Pittsburgh crime offense data, the address match rate was 91 percent.
The match rate for the 2000 through 2001 Pittsburgh crime offense data
was 72 percent. The Pittsburgh CAD data address match rate for 1990
through 1999 was 85 percent, while for 2000 through 2001 the match
rate was 100 percent because the new CAD system supplied incident
coordinates. The address match rates for the Rochester crime offenses
data was 96 percent, and 95 percent for the CAD data. Spatial overlay
in ArcView was used to add geographic area identifiers for each data
point: precinct, car beat, car beat plus, and 1990 Census tract. The
crimes included for both Pittsburgh and Rochester were aggravated
assault, arson, burglary, criminal mischief, misconduct, family
violence, gambling, larceny, liquor law violations, motor vehicle
theft, murder/manslaughter, prostitution, public drunkenness, rape,
robbery, simple assaults, trespassing, vandalism, weapons, CAD drugs,
and CAD shots fired.
Cf.: http://doi.org/10.3886/ICPSR04545.v1
aggravated assaulticpsrarsonicpsrassaulticpsrburglaryicpsrcrime mappingicpsrcrime patternsicpsrcrime predictionicpsrdriving under the influenceicpsrdrug law offensesicpsrfraudicpsrgeographic information systemsicpsrhomicideicpsrrapeicpsrrobberyicpsrtrend analysisicpsrNACJD VII. Crime and DelinquencyNACJD XIV. Homicide StudiesICPSR XVII. Social Institutions and BehaviorCohen, JacquelineGorr, Wilpen L.Inter-university Consortium for Political and Social Research.ICPSR (Series)4545Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR04545.v1 nmm 22 4500ICPSR23880MiAaIm f a u cr mn mmmmuuuu150303s2015 miu f a eng d(MiAaI)ICPSR23880MiAaIMiAaI
Evaluation of CeaseFire, a Chicago-based Violence Prevention Program, 1991-2007
[electronic resource]
Wesley G. Skogan
2015-02-25Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2015ICPSR23880NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This study evaluated CeaseFire, a program of the Chicago Project for Violence Prevention. The evaluation had both outcome and process components.
The outcome evaluation assessed the program's impact on shootings and killings in selected CeaseFire sites. Two types of crime data were compiled by the research team: Time Series Data (Dataset 1) and Shooting Incident Data (Dataset 2). Dataset 1 is comprised of aggregate month/year data on all shooting, gun murder, and persons shot incidents reported to Chicago police for CeaseFire's target beats and matched sets of comparison beats between January 1991 and December 2006, resulting in 1,332 observations. Dataset 2 consists of data on 4,828 shootings that were reported in CeaseFire's targeted police beats and in a matched set of comparison beats for two-year periods before and after the implementation of the program (February 1998 to April 2006).
The process evaluation involved assessing the program's operations and effectiveness. Researchers surveyed three groups of CeaseFire program stakeholders: employees, representatives of collaborating organizations, and clients.
The three sets of employee survey data examine such topics as their level of involvement with clients and CeaseFire activities, their assessments of their clients' problems, and their satisfaction with training and management practices. A total of 154 employees were surveyed: 23 outreach supervisors (Dataset 3), 78 outreach workers (Dataset 4), and 53 violence interrupters (Dataset 5).
The six sets of collaborating organization representatives data examine such topics as their level of familiarity and contact with the CeaseFire program, their opinions of CeaseFire clients, and their assessments of the costs and benefits of being involved with CeaseFire. A total of 230 representatives were surveyed: 20 business representatives (Dataset 6), 45 clergy representatives (Dataset 7), 26 community representatives (Dataset 8), 35 police representatives (Dataset 9), 36 school representatives (Dataset 10), and 68 service organization representatives (Dataset 11).
The Client Survey Data (Dataset 12) examine such topics as clients' involvement in the CeaseFire program, their satisfaction with aspects of life, and their opinions regarding the role of guns in neighborhood life. A total of 297 clients were interviewed.
Cf.: http://doi.org/10.3886/ICPSR23880.v1
aggressionicpsrbehavior modificationicpsrcommunity involvementicpsrcommunity organizationsicpsrcommunity policingicpsrcrime mappingicpsrcrime patternsicpsrcrime reductionicpsrcrime statisticsicpsrcrisis interventionicpsrcultural attitudesicpsrcultural conflicticpsrfirearms deathsicpsrgang violenceicpsrgangsicpsrgun useicpsrhomicideicpsrmurdericpsroutreach programsicpsrprogram evaluationicpsrsocial attitudesicpsrsocial behavioricpsrsocial changeicpsrviolenceicpsrNACJD VII. Crime and DelinquencyNACJD II. Community StudiesICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemSkogan, Wesley G.Inter-university Consortium for Political and Social Research.ICPSR (Series)23880Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR23880.v1 nmm 22 4500ICPSR03483MiAaIm f a u cr mn mmmmuuuu150303s2002 miu f a eng d(MiAaI)ICPSR03483MiAaIMiAaI
Evaluation of the Regional Auto Theft Task (RATT) Force in San Diego County, 1993-1996
[electronic resource]
Cynthia, Burke
,
Darlanne Hoctor Mulmat
,
Roni Melton
,
Susan Pennell
2006-03-30Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2002ICPSR3483NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
model of the stolen car, condition of vehicle when recovered,
property recovered, whether an arrest was made, the arresting agency,
date of arrest, arrest charges, number and type of charges filed,
disposition, conviction charges, number of convictions, and
sentence. Demographic variables include the age, sex, and race of the
suspect, if known. Variables in Parts 2 and 3 include the goals of
RATT, how the program evolved, the role of the IOC, how often the IOC
met, the relationship of the IOC and the executive committee, how RATT
was unique, why RATT was successful, how RATT could be improved, how
RATT was funded, and ways in which auto theft could be
reduced. Variables in Parts 4 and 5 include the goals of RATT, sources
of information about vehicle thefts, strategies used to solve auto
theft cases, location of most vehicle thefts, how motor vehicle thefts
were impacted by RATT, impediments to the RATT program, suggestions
for improving the program, ways in which auto theft could be reduced,
and methods to educate citizens about auto theft. In addition, Part 5
also has variables about the type of officers' training, usefulness of
maps and other data, descriptions of auto theft rings in terms of the
age, race, and gender of its members, and types of cars stolen by
rings.
Cf.: http://doi.org/10.3886/ICPSR03483.v1
organized crimeicpsrprogram evaluationicpsrstolen vehiclesicpsrcriminal investigationsicpsrautomobilesicpsrauto thefticpsrcrime mappingicpsrcrime preventionicpsrcriminal investigationsicpsrlaw enforcementicpsrICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemNACJD VII. Crime and DelinquencyBurke, Cynthia,Hoctor Mulmat, DarlanneMelton, RoniPennell, SusanInter-university Consortium for Political and Social Research.ICPSR (Series)3483Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR03483.v1 nmm 22 4500ICPSR28161MiAaIm f a u cr mn mmmmuuuu150303s2013 miu f a eng d(MiAaI)ICPSR28161MiAaIMiAaI
Explaining Developmental Crime Trajectories at Places
[electronic resource]A Study of "Crime Waves" and "Crime Drops" at Micro Units of Geography in Seattle, Washington, 1989-2004
David Weisburd
,
Elizabeth Groff
,
Sue-Ming Yang
2013-08-05Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2013ICPSR28161NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This study extends a prior National Institute (NIJ) funded study on mirco level places that examined the concentration of crime at places over time. The current study links longitudinal crime data to a series of other databases. The purpose of the study was to examine the possible correlates of variability in crime trends over time. The focus was on how crime distributes across very small units of geography. Specifically, this study investigated the geographic distribution of crime and the specific correlates of crime at the micro level of geography. The study reported on a large empirical study that investigated the "criminology of place." The study linked 16 years of official crime data on street segments (a street block between two intersections) in Seattle, Washington, to a series of datasets examining social and physical characteristics of micro places over time, and examined not only the geography of developmental patterns of crime at place but also the specific factors that are related to different trajectories of crime. The study used two key criminological perspectives, social disorganization theories and opportunity theories, to inform their identification of risk factors in the study and then contrast the impacts of these perspectives in the context of multivariate statistical models.
Cf.: http://doi.org/10.3886/ICPSR28161.v1
crime mappingicpsrcrime predictionicpsrcrime ratesicpsrcrime statisticsicpsremploymenticpsrgeographic information systemsicpsrland ownershipicpsrproperty valuesicpsrpublic assistance programsicpsrpublic housingicpsrsocioeconomic statusicpsrtruancyicpsrurbanizationicpsrvoter registrationicpsrNACJD VII. Crime and DelinquencyNACJD II. Community StudiesICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemWeisburd, DavidGroff, ElizabethYang, Sue-MingInter-university Consortium for Political and Social Research.ICPSR (Series)28161Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR28161.v1 nmm 22 4500ICPSR04546MiAaIm f a u cr mn mmmmuuuu150303s2006 miu f a eng d(MiAaI)ICPSR04546MiAaIMiAaI
Exploratory Spatial Data Approach to Identify the Context of Unemployment-Crime Linkages in Virginia, 1995-2000
[electronic resource]
Sanjeev Sridharan
,
Jon'a Meyer
2006-08-31Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2006ICPSR4546NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This research is an exploration of a spatial approach to
identify the contexts of unemployment-crime relationships at the
county level. Using Exploratory Spatial Data Analysis (ESDA)
techniques, the study explored the relationship between unemployment
and property crimes (burglary, larceny, motor vehicle theft, and
robbery) in Virginia from 1995 to 2000. Unemployment rates were
obtained from the Department of Labor, while crime rates were obtained
from the Federal Bureau of Investigation's Uniform Crime Reports.
Demographic variables are included, and a resource deprivation scale
was created by combining measures of logged median family income,
percentage of families living below the poverty line, and percentage
of African American residents.
Cf.: http://doi.org/10.3886/ICPSR04546.v1
auto thefticpsrburglaryicpsrcauses of crimeicpsrcountiesicpsrcrime mappingicpsrFIPS codesicpsrgeographic information systemsicpsrlarcenyicpsrrobberyicpsrunemploymenticpsrunemployment rateicpsrDSDR VI. Population CharacteristicsNACJD VII. Crime and DelinquencyICPSR XVII. Social Institutions and BehaviorSridharan, SanjeevMeyer, Jon'aInter-university Consortium for Political and Social Research.ICPSR (Series)4546Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR04546.v1 nmm 22 4500ICPSR04547MiAaIm f a u cr mn mmmmuuuu150303s2006 miu f a eng d(MiAaI)ICPSR04547MiAaIMiAaI
Geographies of Urban Crime in Nashville, Tennessee, Portland, Oregon, and Tucson, Arizona, 1998-2002
[electronic resource]
Meagan Elizabeth Cahill
2006-08-31Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2006ICPSR4547NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This research involved the exploration of how the
geographies of different crimes intersect with the geographies of
social, economic, and demographic characteristics in Nashville,
Tennessee, Portland, Oregon, and Tucson, Arizona. Violent crime data
were collected from all three cities for the years 1998 through
2002. The data were geo-coded and then aggregated to block groups and
census tracts. The data include variables on 28 different crimes,
numerous demographic variables taken from the 2000 Census, and several
land use variables.
Cf.: http://doi.org/10.3886/ICPSR04547.v1
assaulticpsrcensus tract levelicpsrcrime mappingicpsrgeographic information systemsicpsrhomicideicpsrlarcenyicpsrneighborhoodsicpsrICPSR XVII. Social Institutions and BehaviorDSDR VI. Population CharacteristicsNACJD VII. Crime and DelinquencyRCMD I. CrimeNACJD XIV. Homicide StudiesCahill, Meagan ElizabethInter-university Consortium for Political and Social Research.ICPSR (Series)4547Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR04547.v1 nmm 22 4500ICPSR02876MiAaIm f a u cr mn mmmmuuuu150303s2000 miu f a eng d(MiAaI)ICPSR02876MiAaIMiAaI
Law Enforcement Agency Identifiers Crosswalk [United States], 1996
[electronic resource]
United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
2001-09-20Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2000ICPSR2876NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
Researchers have long been able to analyze crime and law
enforcement data at the individual agency level (see UNIFORM CRIME
REPORTING PROGRAM DATA: [UNITED STATES] [ICPSR 9028]) and at the
county level (see, for example, UNIFORM CRIME REPORTING PROGRAM DATA
[UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1997
[ICPSR 2764]). However, analyzing crime data at the intermediate
level, the city or place, has been difficult. To facilitate the
creation and analysis of place-level data, the Bureau of Justice
Statistics (BJS) and the National Archive of Criminal Justice Data
(NACJD) created the Law Enforcement Agency Identifiers Crosswalk. The
crosswalk file was designed to provide geographic and other
identification information for each record included in either the
Federal Bureau of Investigation's Uniform Crime Reports (UCR) files or
BJS's Directory of Law Enforcement Agencies. The main variables for
each record are the UCR originating agency identifier number, agency
name, mailing address, Census Bureau's government identification
number, UCR state and county codes, and Federal Information Processing
Standards (FIPS) state, county, and place codes. These variables make
it possible for researchers to take police agency-level data, combine
them with Bureau of the Census and BJS data, and perform place-level,
jurisdiction-level, and government-level analyses.
Cf.: http://doi.org/10.3886/ICPSR02876.v1
crime mappingicpsrcrime patternsicpsrdatabasesicpsrinformation systemsicpsrlaw enforcement agenciesicpsrICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemNACJD VI. Criminal Justice SystemUnited States Department of Justice. Office of Justice Programs. Bureau of Justice StatisticsInter-university Consortium for Political and Social Research.ICPSR (Series)2876Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR02876.v1 nmm 22 4500ICPSR04082MiAaIm f a u cr mn mmmmuuuu150303s2004 miu f a eng d(MiAaI)ICPSR04082MiAaIMiAaI
Law Enforcement Agency Identifiers Crosswalk [United States], 2000
[electronic resource]
United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
2004-09-16Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2004ICPSR4082NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
Researchers have long been able to analyze crime and law
enforcement data at the individual agency level (see UNIFORM CRIME
REPORTING PROGRAM DATA: [UNITED STATES] [ICPSR 9028]) and at the
county level (see, for example, UNIFORM CRIME REPORTING PROGRAM DATA
[UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1997
[ICPSR 2764]). However, analyzing crime data at the intermediate
level, the city or place, has been difficult. To facilitate the
creation and analysis of place-level data, the Bureau of Justice
Statistics (BJS) and the National Archive of Criminal Justice Data
(NACJD) created the Law Enforcement Agency Identifiers Crosswalk. The
crosswalk file was designed to provide geographic and other
identification information for each record included in either the
Federal Bureau of Investigation's Uniform Crime Reports (UCR) files or
BJS's Directory of Law Enforcement Agencies. The main variables for
each record are the UCR originating agency identifier number, agency
name, mailing address, Census Bureau's government identification
number, UCR state and county codes, and Federal Information Processing
Standards (FIPS) state, county, and place codes. These variables make
it possible for researchers to take police agency-level data, combine
them with Bureau of the Census and BJS data, and perform place-level,
jurisdiction-level, and government-level analyses.
Cf.: http://doi.org/10.3886/ICPSR04082.v1
crime mappingicpsrcrime patternsicpsrdatabasesicpsrinformation systemsicpsrlaw enforcement agenciesicpsrICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemNACJD VI. Criminal Justice SystemUnited States Department of Justice. Office of Justice Programs. Bureau of Justice StatisticsInter-university Consortium for Political and Social Research.ICPSR (Series)4082Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR04082.v1 nmm 22 4500ICPSR04634MiAaIm f a u cr mn mmmmuuuu150303s2007 miu f a eng d(MiAaI)ICPSR04634MiAaIMiAaI
Law Enforcement Agency Identifiers Crosswalk [United States], 2005
[electronic resource]
National Archive of Criminal Justice Data
2007-01-10Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2007ICPSR4634NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
The crosswalk file is designed to provide geographic and
other identification information for each record included in either
the Federal Bureau of Investigation's Uniform Crime Reporting (UCR)
Program files or in the Bureau of Justice Statistics' Census of State
and Local Law Enforcement Agencies (CSLLEA). The main variables each
record contains are the alpha state code, county name, place name,
government agency name, police agency name, government identification
number, Federal Information Processing Standards (FIPS) state, county,
and place codes, and Originating Agency Identifier (ORI) code. These
variables allow a researcher to take agency-level data, combine it
with Bureau of the Census and BJS data, and perform place-level and
government-level analyses.
Cf.: http://doi.org/10.3886/ICPSR04634.v1
crime mappingicpsrcrime patternsicpsrdatabasesicpsrinformation systemsicpsrlaw enforcement agenciesicpsrNACJD VI. Criminal Justice SystemICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemNational Archive of Criminal Justice DataInter-university Consortium for Political and Social Research.ICPSR (Series)4634Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR04634.v1 nmm 22 4500ICPSR20560MiAaIm f a u cr mn mmmmuuuu150303s2010 miu f a eng d(MiAaI)ICPSR20560MiAaIMiAaI
Reentry Mapping Network Project in Milwaukee, Wisconsin, Washington, DC, and Winston-Salem, North Carolina, 2003-2004
[electronic resource]
Nancy G. LaVigne
2010-07-30Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2010ICPSR20560NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
The Urban Institute established the Reentry Mapping Network (RMN), a group of jurisdictions applying a data-driven, spatial approach to prisoner reentry. The purpose of the study was to examine three National Institute of Justice-funded RMN sites: Milwaukee, Wisconsin, Washington, DC, and Winston-Salem, North Carolina. As members of the Reentry Mapping Network, the three sites collected local data related to incarceration, reentry, and community well-being. The Nonprofit Center of Milwaukee's Neighborhood Data Center was the lead Reentry Mapping Network partner in Milwaukee. Data on a total of 168 census tracts in Milwaukee (Part 1) during the calendar year 2003 were obtained from the Wisconsin Department of Corrections. NeighborhoodInfo DC was the lead reentry mapping network partner in Washington, DC. Data on a total of 7,286 ex-offenders in Washington, DC (Part 2) during the calendar year 2004 were obtained from the Court Services and Offender Supervision Agency (CSOSA) for the District of Columbia. The Winston-Salem Reentry Mapping Network project was managed by the Center for Community Safety (CCS), a public service and research center of Winston-Salem State University. Data on a total of 2,896 ex-offenders in Forsyth County (Part 3) during the calendar year 2003 were obtained from the North Carolina Department of Corrections (DOC), the Forsyth County Sheriff's Department (Forsyth County Detention Center [FCDC]), and the North Carolina Department of Juvenile Justice and Delinquency Prevention (DJJDP). The Milwaukee, Wisconsin Data (Part 1) contain a total of 95 variables including race, ethnicity, gender, marital status, education, job status, dependents, general risk assessment, alcohol risk, drug risk, need for alcohol treatment, and need for drug treatment. Also included are four geographic variables. The Washington, DC Data (Part 2) contain a total of 13 variables including supervision type, whether supervision began in calendar year 2004, date supervision period began, date supervision period ended, sex, marital status, ethnicity, age, education, unemployment status, state, and Census tract. The Winston-Salem, North Carolina Data (Part 3) contain a total of 14 variables including race, sex, primary offense, admittance date, date pardoned, street, city, state, status, jurisdiction, and age at admission.
Cf.: http://doi.org/10.3886/ICPSR20560.v1
communitiesicpsrcomputer aided mappingicpsrcrime mappingicpsrenvironmenticpsrex-offendersicpsrinmate release plansicpsrmappingicpsrprisoner reentryicpsrtrend analysisicpsrICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemNACJD III. CorrectionsLaVigne, Nancy G.Inter-university Consortium for Political and Social Research.ICPSR (Series)20560Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR20560.v1 nmm 22 4500ICPSR03260MiAaIm f a u cr mn mmmmuuuu150303s2001 miu f a eng d(MiAaI)ICPSR03260MiAaIMiAaI
Spatial Analysis of Crime in Appalachia [United States], 1977-1996
[electronic resource]
James G. Cameron
2006-03-30Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2001ICPSR3260NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
This research project was designed to demonstrate the
contributions that Geographic Information Systems (GIS) and spatial
analysis procedures can make to the study of crime patterns in a
largely nonmetropolitan region of the United States. The project
examined the extent to which the relationship between various
structural factors and crime varied across metropolitan and
nonmetropolitan locations in Appalachia over time. To investigate the
spatial patterns of crime, a georeferenced dataset was compiled at the
county level for each of the 399 counties comprising the Appalachian
region. The data came from numerous secondary data sources, including
the Federal Bureau of Investigation's Uniform Crime Reports, the
Decennial Census of the United States, the Department of Agriculture,
and the Appalachian Regional Commission. Data were gathered on the
demographic distribution, change, and composition of each county, as
well as other socioeconomic indicators. The dependent variables were
index crime rates derived from the Uniform Crime Reports, with
separate variables for violent and property crimes. These data were
integrated into a GIS database in order to enhance the research with
respect to: (1) data integration and visualization, (2) exploratory
spatial analysis, and (3) confirmatory spatial analysis and
statistical modeling. Part 1 contains variables for Appalachian
subregions, Beale county codes, distress codes, number of families and
households, population size, racial and age composition of population,
dependency ratio, population growth, number of births and deaths, net
migration, education, household composition, median family income,
male and female employment status, and mobility. Part 2 variables
include county identifiers plus numbers of total index crimes, violent
index crimes, property index crimes, homicides, rapes, robberies,
assaults, burglaries, larcenies, and motor vehicle thefts annually
from 1977 to 1996.
Cf.: http://doi.org/10.3886/ICPSR03260.v1
crime mappingicpsrcrime patternsicpsrcrime reportingicpsrdemographic characteristicsicpsrgeographic information systemsicpsrNACJD XIV. Homicide StudiesDSDR VI. Population CharacteristicsICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemNACJD VII. Crime and DelinquencyCameron, James G.Inter-university Consortium for Political and Social Research.ICPSR (Series)3260Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR03260.v1 nmm 22 4500ICPSR02878MiAaIm f a u cr mn mmmmuuuu150303s2001 miu f a eng d(MiAaI)ICPSR02878MiAaIMiAaI
Use of Computerized Crime Mapping by Law Enforcement in the United States, 1997-1998
[electronic resource]
Cynthia A. Mamalian
,
Nancy G. LaVigne
,
Elizabeth Groff
2008-04-18Ann Arbor, Mich.Inter-university Consortium for Political and Social Research [distributor]2001ICPSR2878NumericTitle from ICPSR DDI metadata of 2015-03-03.AVAILABLE. This study is freely available to the general public.Also available as downloadable files.
As a first step in understanding law enforcement agencies'
use and knowledge of crime mapping, the Crime Mapping Research Center
(CMRC) of the National Institute of Justice conducted a nationwide
survey to determine which agencies were using geographic information
systems (GIS), how they were using them, and, among agencies that were
not using GIS, the reasons for that choice. Data were gathered using a
survey instrument developed by National Institute of Justice staff,
reviewed by practitioners and researchers with crime mapping
knowledge, and approved by the Office of Management and Budget. The
survey was mailed in March 1997 to a sample of law enforcement
agencies in the United States. Surveys were accepted until May 1,
1998. Questions asked of all respondents included type of agency,
population of community, number of personnel, types of crimes for
which the agency kept incident-based records, types of crime analyses
conducted, and whether the agency performed computerized crime
mapping. Those agencies that reported using computerized crime mapping
were asked which staff conducted the mapping, types of training their
staff received in mapping, types of software and computers used,
whether the agency used a global positioning system, types of data
geocoded and mapped, types of spatial analyses performed and how
often, use of hot spot analyses, how mapping results were used, how
maps were maintained, whether the department kept an archive of
geocoded data, what external data sources were used, whether the
agency collaborated with other departments, what types of Department
of Justice training would benefit the agency, what problems the agency
had encountered in implementing mapping, and which external sources
had funded crime mapping at the agency. Departments that reported no
use of computerized crime mapping were asked why that was the case,
whether they used electronic crime data, what types of software they
used, and what types of Department of Justice training would benefit
their agencies.
Cf.: http://doi.org/10.3886/ICPSR02878.v3
crime mappingicpsrgeographic information systemsicpsrinformation useicpsrlaw enforcement agenciesicpsrNACJD IX. PoliceICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice SystemMamalian, Cynthia A.LaVigne, Nancy G.Groff, ElizabethInter-university Consortium for Political and Social Research.ICPSR (Series)2878Access restricted ; authentication may be required:http://doi.org/10.3886/ICPSR02878.v3